Ted Kwartler - Sports Analytics in Practice with R

4 Chapter 4Figure 4.1 Demonstrating KNN with...Figure 4.2 Adjusted for multi-class outcomes, player...Figure 4.3 Player data with...Figure 4.4 The assigned points for each cluster.Figure 4.5 The centroids move to minimize either the mean or...Figure 4.6 The centroids placed where no more points are reassigned...Figure 4.7 The difference between distances measures.Figure 4.8 A visual comparison of draft to non-draft by position.Figure 4.9 This visual compares 40yrd times...Figure 4.10 A barbell Dot Plot demonstrating the 40-yard sprint...Figure 4.11 The neighbor to accuracy relationship demonstrating...Figure 4.12 The training set ROC curve showing a...Figure 4.13 The error curve demonstrating that the RMSE error metric...

5 Chapter 5Figure 5.1 The PPG kernel density plot showing the most...Figure 5.2 Kernel density plots for each actual...Figure 5.3 The proportional coefficient...Figure 5.4 The winning team frequency by...Figure 5.5 The field goal percentage distribution...

6 Chapter 6Figure 6.1 A full join where all data in table A is appended to...Figure 6.2 The area chart with...Figure 6.3 The star-shaped word cloud showing “middle...Figure 6.4 An inner join between two tables.Figure 6.5 The ggplot style radar chart, showing more love...Figure 6.6 The cumulative sum polarity area chart.Figure 6.7 An example network graph of user nodes and edge connections.Figure 6.8 The default network plot for...Figure 6.9 The simplified network...Figure 6.10 The top and bottom decile polarity forum commentors.Figure 6.11 The polarity bars with all users. As a user’s mouse rolls

7 Chapter 7Figure 7.1 The “Baker Mayfield...Figure 7.2 The QB selection frequency chart.Figure 7.3 The DST bar chart from ' echarts4r'.Figure 7.4 The facets bar charts by position.Figure 7.5 The relationship of uncertainty and...Figure 7.6 The HTML-based scatter...

8 Chapter 8Figure 8.1 Akron’s players by shots demonstrate a power...Figure 8.2 The team...Figure 8.3 The Cleveland dot plot showing Akron’s dispersal...Figure 8.4 The Cleveland dot plot demonstrating opposing team Goal...Figure 8.5 The cumulative shots over the season where the slope...Figure 8.6 The adjusted smoothed line...

1 Chapter 1 Table 1.1 Three simple control flows in R including... Table 1.2 Common R data types... Table 1.3 The...

2 Chapter 2 Table 2.1 Sixty seemingly unrelated data points. Table 2.2 A summary of the types of bar charts and when to use them. Table 2.3 The robust sportyR...

3 Chapter 3Table 3.1 An abridged ` People` data frame...Table 3.2 The single row for Miguel Castro player information.Table 3.3 Miguel Castro’s year-over-year pitch type tally by year.Table 3.4 Miguel Castros’ pitch type by year as...Table 3.5 The reorientation of the pitch data to the long format.Table 3.6 Showing the maximum value in 2017 being...Table 3.7 The x–y coordinates for two strike subzones.Table 3.8 The player’s proportion of hits for both seasons.

4 Chapter 4Table 4.1 The primary football positions...Table 4.2 The...Table 4.3 Illustrative...Table 4.4 The result of applying...Table 4.5 The summary statistics including average, minimum,...Table 4.6 The training set confusion matrix results.Table 4.7 Showing individual class probabilities which...Table 4.8 The training set confusion matrix...Table 4.9 The median cluster summary statistics.Table 4.10 The Mediod cluster assignments as...

5 Chapter 5Table 5.1 A portion of the women’s basketball data.Table 5.2 The approximate three...Table 5.3 The model’s in-sample confusion matrix, where...Table 5.4 External Kappa context from a Biochemia Medica article.Table 5.5 A comparison of model metrics...Table 5.6 The first six records of the winning season teams’ data.Table 5.7 The summary winning team statistic and model data.Table 5.8 The inclusion of Green Bay among these...

6 Chapter 6Table 6.1 A portion of the 1641 wordnet_affect lexicon.Table 6.2 The small, customized...Table 6.3 A portion of the comments and posts by day.Table 6.4 A portion of the bigram frequency data frame.Table 6.5 A portion of the tidy unigram data from cricket forum postsTable 6.6 The count and grouping of...Table 6.7 A selection of the left join table...Table 6.8 A selection of comment identifiers...Table 6.9 A portion of the incident matrix where user “0”...

7 Chapter 7Table 7.1 A portion of the player...Table 7.2 A single player’...Table 7.3 A portion of the cleaned up...Table 7.4 The smaller player data set with...Table 7.5 A portion of the...Table 7.6 The one hot encoding for...Table 7.7 The transposed dummy variable matrix for a small...Table 7.8 The encoded data, showing a player...Table 7.9 Where Baker Mayfield’s game points were simulated...Table 7.10 The lineup attributes...Table 7.11 The optimal lineup given the point totals for the...Table 7.12 The most selected...Table 7.13 The joined optimal lineup tally and point information.Table 7.14 The preference...Table 7.15 The optimal lineup according to the optimization analysis...

8 Chapter 8Table 8.1 The MAC teams within this chapte’s data.Table 8.2 The sequence matrix demonstrating sequence action tallies.Table 8.3 The outlier on goal rate...Table 8.4 The cumulative results within a...Table 8.5 The tabulation and proportion of Akron’s play type.Table 8.6 Akron’s play transition state for the 2019 season.

1 Cover

2 Title page

3 Copyright

4 Table of Contents

5 Preface

6 Author Biography

7 Foreword

8 Begin Reading

9 Index

10 End User License Agreement

1 i

2 ii

3 iii

4 iv

5 v

6 vi

7 vii

8 viii

9 ix

10 x

11 xi

12 xii

13 1

14 2

15 3

16 4

17 5

18 6

19 7

20 8

21 9

22 10

23 11

24 12

25 13

26 14

27 15

28 16

29 17

30 18

31 19

32 20

33 21

34 22

35 23

36 24

37 25

38 26

39 27

40 28

41 29

42 30

43 31

44 32

45 33

46 34

47 35

48 36

49 37

50 38

51 40

52 41

53 42

54 43

55 44

56 45

57 46

58 47

59 48

60 49

61 50

62 51

63 52

64 53

65 54

66 55

67 57

68 58

69 59

70 60

71 62

72 63

73 64

74 65

75 66

76 67

77 69

78 70

79 71

80 72

81 73

82 74

83 75

84 76

85 77

86 78

87 79

88 80

89 81

90 82

91 83

92 84

93 85

94 86

95 87

96 88

97 89

98 90

99 91

100 92

101 93

102 94

103 95

104 96

105 97

106 98

107 99

108 100

109 101

110 102

111 103

112 104

113 105

114 106

115 107

116 108

117 109

118 110

119 111

120 112

121 113

122 114

123 115

124 116

125 117

126 118

127 119

128 120

129 121

130 122

131 123

132 124

133 125

134 126

135 127

136 128

137 129

138 130

139 131

140 132

141 133

142 134

143 135

144 136

145 137

146 138

147 139

148 140

149 141

150 142

151 143

152 144

153 145

154 146

155 147

156 148

157 149

158 150

159 151

160 152

161 153

162 154

163 155

164 156

165 157

166 158

167 159

168 160

169 161

170 162

171 163

172 164

173 165

174 166

175 167